Cheerio Scraper Connector for AI agents.
1 live capability
Pull clean OpenGraph and SEO tags from any website for link previews.
Waiting for input…
Why people use Cheerio Scraper
URL Metadata Scraper for Fixing Broken Social Media Link Previews
This Connector changes the game by targeting only the metadata. It grabs the OpenGraph and SEO tags that websites already have prepared for search engines and social apps. You get a clean, structured summary of the page's purpose without the junk.
What Vinkius changes
You get clean, usable link data without the cost or noise of a full web scrape.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Automated Social Media Posts
A social media manager wants to turn a news link into a tweet.
- Real-world use case 02
Bulk SEO Audits
An SEO specialist needs to check 50 landing pages.
- Real-world use case 03
Link Summary Dashboards
A developer is building a dashboard that summarizes links.
Complete set · 1capability
The complete Cheerio Scraper capability set.
These are the exact actions your AI can choose when you ask it to work with Cheerio Scraper.
01
1 capability in this set.
Part of 1 available through Cheerio Scraper.
- 01 Capability
Scrape url
Pass a URL to get structured metadata like titles and images without a headless browser. This is perfect for quick link previews and SEO audits.
Set up in minutes
One URL. Then ask Cheerio Scraper to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Cheerio Scraper from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_8dCiPY0j2J0NrFWar9hvAPxfBBUFBYDVdWIuQXWE/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Cheerio Scraper, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Cheerio Scraper for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_8dCiPY0j2J0NrFWar9hvAPxfBBUFBYDVdWIuQXWE/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Cheerio Scraper URL.
- Step 03
Save and start
Save the connection and enable Cheerio Scraper in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"url-metadata-scraper": {
"url": "https://edge.vinkius.com/vk_preview_8dCiPY0j2J0NrFWar9hvAPxfBBUFBYDVdWIuQXWE/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Cheerio Scraper
Open Agent mode in chat and ask: "Using Cheerio Scraper, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"url-metadata-scraper": {
"url": "https://edge.vinkius.com/vk_preview_8dCiPY0j2J0NrFWar9hvAPxfBBUFBYDVdWIuQXWE/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Cheerio Scraper
Ask Copilot: "Using Cheerio Scraper, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"url-metadata-scraper": {
"url": "https://edge.vinkius.com/vk_preview_8dCiPY0j2J0NrFWar9hvAPxfBBUFBYDVdWIuQXWE/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Cheerio Scraper
Open Cascade and ask: "Using Cheerio Scraper, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"url-metadata-scraper": {
"url": "https://edge.vinkius.com/vk_preview_8dCiPY0j2J0NrFWar9hvAPxfBBUFBYDVdWIuQXWE/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Cheerio Scraper
Ask Cline: "Using Cheerio Scraper, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add url-metadata-scraper --transport http "https://edge.vinkius.com/vk_preview_8dCiPY0j2J0NrFWar9hvAPxfBBUFBYDVdWIuQXWE/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Cheerio Scraper
Ask Claude: "Using Cheerio Scraper, show me...". 1 tools are ready
Where the request belongs
Work Cheerio Scraper can move forward.
Marketing managers who need to generate social content at scale and SEO specialists who need to audit hundreds of pages quickly. It is for anyone tired of their AI agent getting lost in a website's navigation menu.
Social Media Manager
Creating automated Twitter threads or LinkedIn posts with correct link previews.
SEO Specialist
Auditing large lists of URLs to ensure meta tags are consistent and present.
Content Strategist
Building automated dashboards that summarize news links for internal teams.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsMicrolink
Turn any website into data. extract metadata, take screenshots, generate PDFs, and run performance audits directly from your AI agent.
Web Scraper
Equip your AI agent with the ability to read web pages, extract metadata, and crawl documentation sites as clean Markdown.
Diffbot
Extract structured data from any web page using AI that understands content like a human and builds knowledge graphs automatically.
Firecrawl
Turn any website into clean, LLM-ready Markdown with a single API call. scrape, crawl, search, and map the entire web for your AI agent.
Meta Tag Analyzer
Validate HTML title and meta description tags for SEO optimization.
Open Graph Generator
Generates standardized Open Graph and Twitter Card HTML meta tags from provided metadata.
Bring your own AI
Change the model, client or framework. Keep Cheerio Scraper connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Cheerio Scraper.
The practical details behind the request, access and result.
Does the URL Metadata Scraper work for all websites?
Yes, it works on any website that has standard meta tags. If a site doesn't have these tags, the agent will report that no data was found.
Can I use URL Metadata Scraper to see the actual page content?
No, this Connector is specifically designed to grab summary tags like the title and description. It does not pull the full body text of the page.
How does URL Metadata Scraper save me money?
It prevents your AI agent from reading the entire HTML of a page. By only pulling a few tags, you save a significant amount of tokens on every request.
Will URL Metadata Scraper find the correct image for Twitter?
Yes, it specifically looks for OpenGraph image tags, which are the standard tags used by Twitter and other social platforms for link previews.
Is URL Metadata Scraper faster than a browser?
Yes, it is much faster. It uses a lightweight parser to grab data without having to load styles, scripts, or images in a full browser window.
Does it run a headless browser?
No, it uses a lightweight fetch to grab the raw HTML, making it incredibly fast.
What fields does it extract?
Title, description, featured image URL, and site name.
Can it bypass captchas?
No, this is a lightweight HTTP scraper. It will fail on sites protected by Cloudflare or advanced bot protection.
One connection away
Give your agent a direct line to Cheerio Scraper.
Connect Cheerio Scraper once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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